Team Activities
We keep the team spirit going at all times, with numerous events and activities happening in the office, but also outside of the office.

Flexible Vacations
We’re not here to police your “me time.” Take the right balance of personal days off so you can always be fully on.

Well Established
This isn’t some little startup anymore. We’ve spent the last six years building a company that you can feel secure about. And as one of the fastest growing tech companies,
we want you to help us grow, too.

About Our Machine Learning Software Engineer

Dynamic Yield is on the lookout for a Machine Learning Software Engineer with orientation to Machine Learning pipelines. As part of our team, this role is responsible for all engineering aspects of our machine learning algorithms and A/B test mechanisms at scale while working closely with the company’s data science team. The job requires someone skillful at the latest big data batch and streaming technologies. We are seeking for outstanding software developers, with strong OOP capabilities, deep understanding of distributed systems, and passion for data science and algorithms.

You’ll be expected to utilize advanced technical skills and critical thinking abilities to focus on appropriate methods for evaluation for optimal results by using a range of technological stacks we use: Spark, Flink, HBase, Kafka, Redis, Elasticsearch, Akka Streams, and we code mainly in Java, Scala and Python. A strong team player with great communication skills while having the know-how to deliver high-levels of coding, design, testing, and execution.

The Task-at-Hand:

Design, code, and maintain Big Data workflows/pipelines

Create a machine learning infrastructure from training to predict

Develop A/B test features and tools

Build, maintain and execute unit test cases with high code coverage

Work in teams and collaborate with others

Bring a strong opinion to the table and be proactively involved with product planning

Be fully responsible for the product’s lifecycle - from design and development to deployment

Optimal Skills for Success:

Degree in Computer Science or a related discipline from a top university, or relevant army experience. Self-taught hackers are also welcome